CN118033691A - Surveying and mapping reference supervision and management method and system based on satellite navigation positioning reference - Google Patents
Surveying and mapping reference supervision and management method and system based on satellite navigation positioning reference Download PDFInfo
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Abstract
The invention discloses a surveying and mapping reference supervision and management method and system based on satellite navigation positioning reference, comprising the following steps: s1, acquiring track data and coordinate conversion data of a satellite navigation positioning reference service system; s2, converting the coordinate conversion data to form a coordinate conversion data set; s3: carrying out noise point elimination, track point classification pretreatment and clustering analysis on track data, selecting clustering parameters for clustering, realizing conversion from track points to vector surfaces, and simulating to obtain planar distribution conditions of the field acquisition tracks of a surveying and mapping unit; s4, matching and sleeving the coordinate conversion data set and the planar distribution condition of the field acquisition track of the surveying and mapping unit; s5, counting the proportion P1 of the number of the coordinate conversion data basic units which are fully matched with each mapping unit to the coordinate conversion data set, and counting the proportion P2 of the number of the coordinate conversion data basic units which are partially matched to the coordinate conversion data set; s6: and analyzing and judging the mapping reference key supervision object according to a preset threshold value. The invention realizes the active supervision and management of the surveying and mapping reference.
Description
Technical Field
The invention relates to the field of surveying and mapping reference supervision and management, in particular to a surveying and mapping reference supervision and management method and system based on satellite navigation positioning references.
Background
Survey supervision is a Shensheng right and obligation given by survey methods to survey geographic information supervision departments, and survey benchmark management is an important ring of survey supervision. According to related laws and regulations, planning natural resource supervision departments and related departments, establishing and maintaining a unified satellite navigation positioning reference service system, and providing satellite navigation positioning reference information public service. Other units have to provide satellite navigation positioning reference information public services.
At present, management of a surveying and mapping reference is mainly managed through modes of 'double random, one open' inspection, recording of a surveying and mapping reference station and the like in the surveying and mapping industry, but in the actual management process, the phenomena of supervision lag, survey and mapping unit application and diffraction coping inspection and the like occur sometimes, in the surveying and mapping unit operation process, whether unified satellite navigation positioning reference service provided by a supervision department is actually used or not is difficult to comprehensively master, the result reference of part of surveying and mapping units is inaccurate, a certain quality risk exists in the result, supervision and management work is difficult to comprehensively and effectively develop, supervision strength is poor, and supervision accuracy is unfavorable to improvement.
Disclosure of Invention
The invention aims at providing a surveying and mapping reference supervision and management method and system based on satellite navigation positioning references, which analyze the use condition of the surveying and mapping reference through a rough track provided by a satellite navigation positioning reference service system and coordinate conversion data provided by a unified coordinate conversion platform, determine an object under key supervision and provide effective technical support for the surveying and mapping reference supervision accuracy.
In order to achieve one of the above purposes, the present invention adopts the following technical scheme:
A surveying and mapping reference supervision and management method based on satellite navigation positioning reference is characterized by comprising the following steps:
S1, acquiring track data of a satellite navigation positioning reference service system and coordinate conversion data provided by a unified coordinate conversion platform established by a supervision department;
S2, carrying out coordinate conversion processing on coordinate conversion data established by a supervision department, unifying the coordinate conversion data to a plane coordinate system with the same track data, reserving information such as units, conversion time, project names and the like during coordinate conversion, carrying out fusion processing according to the conversion time and the inter-point distance, and carrying out fusion processing on the conversion data submitted once and the inter-point distance being lower than a preset third threshold value to form a coordinate data basic unit, wherein all the coordinate data basic units are summarized to form a coordinate conversion data set;
S3, carrying out noise point elimination, track point classification pretreatment and clustering analysis on track data of the satellite navigation positioning reference service system, and selecting clustering parameters to carry out clustering and analysis, so as to realize conversion from track points to vector surfaces, and obtaining planar distribution conditions of field acquisition tracks of mapping units through simulation;
The method specifically comprises the steps of selecting clustering parameters for clustering and analyzing, and converting track points into vector surfaces, wherein the method specifically comprises the following steps of: selecting two clustering parameters of a plurality of groups of field radius Eps and minimum point number MinPts in the field radius, performing clustering experiments, selecting known mapping unit track points and a coordinate conversion data set typical sample, performing verification to obtain an optimal clustering parameter value, randomly selecting one point to be processed from a point set according to the optimal clustering parameter value, judging whether the point is a core point or not, namely whether the point is not less than the MinPts in the radius Eps, if the point is not less than the MinPts, skipping the point, searching all reachable object points according to the parameters, outputting to form a track point cluster until all points are traversed, namely finishing the mapping unit track point cluster, marking different cluster clusters through a newly added z_label field, and performing conversion from the cluster result to a vector surface by taking the z_label field value as a benchmark;
S4, matching and nesting the coordinate conversion data set in the S2 and the planar distribution condition of the field acquisition track of the mapping unit in the S3, and judging that the mapping unit is completely matched if the field acquisition track surface of the mapping unit has a topological inclusion relation with the coordinate conversion data set and the name and the time attribute of the mapping unit are matched; if the mapping unit field acquisition track surface has a topological inclusion relation with the coordinate conversion data set but the mapping unit name and the time attribute are not matched, judging that the mapping unit field acquisition track surface is partially matched; the rest cases are not matched;
S5, counting the proportion P1 of the number of the coordinate conversion data basic units which are fully matched with each mapping unit to all coordinate conversion data sets, and obtaining the unified mapping reference supervision proportion of each mapping unit by using a supervision department, namely mapping reference supervision coverage rate; counting the proportion P2 of the basic unit number of the coordinate conversion data matched by the part to the coordinate conversion data set to obtain the proportion of each surveying and mapping unit for converting the surveying and mapping reference to other units, namely the surveying and mapping reference lending rate;
And S6, judging the important supervision object of the surveying and mapping reference supervision, and if the surveying and mapping reference supervision coverage rate of the surveying and mapping unit is lower than a preset first threshold value or the surveying and mapping reference borrowing rate is higher than a preset second threshold value, the important supervision object of the surveying and mapping reference supervision belongs to the important supervision object of the surveying and mapping reference supervision.
Further, the step S1 of acquiring track data of the satellite navigation positioning reference service system refers to that when the satellite navigation positioning reference service system established by the survey and drawing geographic information supervision department provides measurement operation service for the outside, after a user logs in a system account, the system acquires outline positioning coordinates corresponding to the unit account at a certain time interval, and a data set formed by the coordinates is track data.
Further, the coordinate conversion data provided by the unified coordinate conversion platform established by the supervision department in S1 refers to corresponding coordinate data generated by the mapping unit through the coordinate conversion platform by providing services for the corresponding reference information and conversion parameters through the coordinate conversion platform for establishing local unified mapping reference by the supervision department of mapping geographic information.
Further, in the step S2, fusion processing is performed according to the conversion time and the inter-point distance, and when the conversion data submitted once and the inter-point distance are lower than a preset threshold value, the fusion processing is performed to form a coordinate data basic unit, and all results are summarized to form a coordinate conversion data set, which specifically includes:
When the coordinate conversion is carried out, a certain number of project control points are generally selected for conversion through a coordinate conversion platform by a surveying and mapping unit, the distance between the control points is required to meet the corresponding distance requirement according to the standard requirement, the factors of the distance between adjacent points and the coordinate conversion time are comprehensively considered for control measurement during data fusion, the coordinate conversion point clusters are fused and converted to form a project vector surface, the project control point conversion data basic unit of the surveying and mapping unit operation is obtained through simulation, and a coordinate conversion data set is formed after summarization.
Further, in the step S3, the step of removing noise points from the track data of the satellite navigation positioning reference service system refers to obtaining track points for real mapping purposes from discrete points outside the administrative area, individual discrete points inside the administrative area and noise points with obvious anomalies.
Further, in the step S3, the track point classification preprocessing is performed on track data of the satellite navigation positioning reference service system, where when the satellite navigation positioning reference service system is used for measurement according to a mapping unit, the track data generated by a plurality of accounts corresponding to the unit are combined and pre-classified according to the attribute of the unit, considering the characteristic that a plurality of accounts of one item are measured simultaneously.
Further, in the step S3, clustering parameters are selected for clustering and analysis, so that transformation from track points to vector surfaces is realized, a certain buffer area distance is set for the obtained vector surfaces, and finally planar distribution conditions of field acquisition tracks of mapping units are obtained through simulation.
Further, the spatial topological inclusion relationship between the point location data of the coordinate conversion dataset and the area data acquired by the field data in S4 means that the spatial topological inclusion relationship is determined when the overlapping portion of the area of the coordinate conversion dataset and the area acquired by the field data is greater than or equal to 80%.
Further, the matching of the name and the time attribute of the mapping unit in S4 means that the attribute of the name of the mapping unit of the track and the attribute of the coordinate conversion data are consistent, and the coordinate conversion data conversion time should be later than the measurement time of the track data.
In order to achieve the second purpose, the invention adopts the following technical scheme:
A surveying and mapping reference supervision and management system based on satellite navigation positioning reference service system track and coordinate conversion data is characterized in that: comprises a data acquisition module and a data analysis processing module,
The data acquisition module is used for: the method comprises the steps of acquiring track data of a satellite navigation positioning reference service system and coordinate conversion data submitted by a coordinate conversion system, and corresponding attribute information;
The data analysis processing module is used for: the method comprises the steps of carrying out coordinate conversion processing on coordinate conversion data established by a supervision department, keeping information such as units, conversion time and project names in coordinate conversion in the same plane coordinate system from the same to the same track data, carrying out fusion processing according to the conversion time and the inter-point distance, and carrying out fusion processing to form a coordinate data basic unit when the single submitted conversion data is lower than a preset threshold value and all the coordinate data basic units are summarized to form a coordinate conversion data set; carrying out noise point rejection, track point classification pretreatment and clustering analysis on track data of a satellite navigation positioning reference service system, selecting clustering parameters for clustering and analyzing, converting track points into vector surfaces, and simulating to obtain planar distribution conditions of field acquisition tracks of mapping units; the method specifically comprises the steps of selecting clustering parameters for clustering and analyzing, and converting track points into vector surfaces, wherein the method specifically comprises the following steps of: selecting two clustering parameters of a plurality of groups of field radius Eps and minimum points MinPts in the field radius to perform clustering experiments, selecting known mapping unit track points and typical samples of a coordinate conversion data set to perform verification to obtain optimal clustering parameter values, wherein the initial value of the field radius Eps is 50 meters, the stepping distance of the field radius is 50 meters, the initial value of the minimum points MinPts in the field radius is 3 points, the stepping points are 2 points, randomly selecting a point to be processed from a point set according to the optimal clustering parameter values, judging whether the point to be processed is a core point or not, namely whether the point to be processed contains no less than MinPts in the radius Eps, if not, skipping the point, if yes, searching all reachable object points according to the parameters, outputting to form track point clustering clusters, until all the points are traversed, namely finishing the mapping unit track point clustering, marking different clustering clusters by adding a z_labl field, and performing point-to vector face conversion on the clustering results by taking the z_labl field value as a reference; matching and registering the middle coordinate conversion data set and the planar distribution condition of the surveying and mapping unit field acquisition track, and judging that the mapping unit field acquisition track surface is fully matched if the mapping unit field acquisition track surface has a topological inclusion relationship with the coordinate conversion data set and the mapping unit name and the time attribute are matched; if the mapping unit field acquisition track surface has a topological inclusion relation with the coordinate conversion data set but the mapping unit name and the time attribute are not matched, judging that the mapping unit field acquisition track surface is partially matched; the rest cases are not matched; counting the proportion P1 of the number of the coordinate conversion data basic units which are fully matched with each mapping unit to all coordinate conversion data sets to obtain the unified mapping reference monitoring proportion of each mapping unit by using the monitoring department, namely the monitoring coverage rate of the mapping reference; counting the proportion P2 of the basic unit number of the coordinate conversion data matched by the part to the coordinate conversion data set to obtain the proportion of each surveying and mapping unit for converting the surveying and mapping reference to other units, namely the surveying and mapping reference lending rate; and if the surveying and mapping reference supervision coverage rate of the surveying and mapping unit is lower than a preset first threshold value or the surveying and mapping reference borrowing rate is higher than a preset second threshold value, the surveying and mapping unit belongs to a surveying and mapping reference supervision key supervision object.
The invention has the beneficial effects that:
The method utilizes massive track data acquired during the field data acquisition of the satellite navigation positioning reference service system, converts track points into vector surfaces through a clustering algorithm to obtain the actual distribution condition of the field data acquisition of the surveying and mapping units, and performs matching and nesting processing with a coordinate conversion data set to reflect the surveying and mapping reference use condition of each surveying and mapping unit, so as to analyze the surveying and mapping reference supervision coverage rate and the surveying and mapping reference borrowing rate of each unit, actively find out weak units of surveying and mapping reference supervision, and propose targeted suggestions for strengthening the surveying and mapping reference supervision by the supervision departments. The method effectively solves the defect of the initiative of the traditional supervision, and realizes the supervision mode that the traditional supervision is changed from the passive to the active.
The method fully utilizes the data record of the whole process from field measurement to internal data processing of mapping activities, when each unit is converted by adopting coordinate conversion software, corresponding original space position data is needed, and when the original data is acquired, part of units do not use the actual condition of a unified satellite navigation positioning reference service system established by a supervision department, the condition of each unit using mapping references can be accurately reflected through statistical analysis, and more accurate technical support is provided for the supervision work of the supervision department for making the mapping references.
Drawings
FIG. 1 is a flow chart of an embodiment 1 of the present invention;
FIG. 2 is a flow chart showing the steps 2 and 3 of the embodiment 1 of the present invention;
FIG. 3 is a flow chart of noise point removal and pre-classification in embodiment 1 of the present invention;
FIG. 4 is a flowchart of selecting clustering parameters for clustering according to embodiment 1 of the present invention;
Fig. 5 is a schematic block diagram of embodiment 2 of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Example 1:
referring to fig. 1 to 4, a surveying and mapping reference supervision and management method and system based on satellite navigation positioning reference service system track and coordinate conversion data includes the following steps:
Step S1, acquiring track data of a satellite navigation positioning reference service system during field measurement of a surveying and mapping unit and conversion data of coordinate conversion through a coordinate conversion platform of a supervision department;
In the step S1, the acquisition of the track data of the satellite navigation positioning reference service system refers to that when the satellite navigation positioning reference service system established by the survey and drawing geographic information supervision department provides measurement operation service for the outside, after a user logs in a system account, the system acquires the outline positioning coordinates corresponding to the unit account at a certain time interval, and a data set formed by the coordinates is the track data. The satellite navigation positioning reference service system is a satellite positioning continuous operation reference system established by the provincial and municipal industry supervision departments, generally comprises five parts of a reference station network, a data processing center, a data transmission system, a positioning navigation data broadcasting system and a user application system, and can provide high-precision positioning service for measuring instruments. When a surveying and mapping unit logs in a satellite navigation positioning reference service system through an account number to perform field measurement, the system records the measurement equipment outline point location information logged in the account number at certain time intervals, and the measurement equipment outline point location information comprises field attribute information such as space position (longitude and latitude), measurement time, surveying and mapping unit, account number information and the like. The longitude and latitude coordinates can be converted into unified plane coordinates through coordinate conversion software, so that track data can be obtained.
The coordinate conversion platform converts the coordinate conversion data into point location coordinate data generated by converting the unified coordinate conversion parameters into a target coordinate system through the coordinate conversion platform according to a unified mapping reference established by a mapping geographic information supervision department of original observation data during field measurement by a mapping unit. The original observation data refer to the information data of the plane and the elevation of the target point, which are obtained by using accurate positioning service provided by a satellite navigation positioning reference service system when surveying and mapping units use measuring equipment such as a GNSS receiver and the like to measure in the field. The surveying and mapping geographic information supervision department establishes a local unified surveying and mapping reference, and provides corresponding reference information and conversion parameters for the outside through a coordinate conversion platform. The transformation data for coordinate transformation typically includes mapping units, time of submission, mapping projects, and spatial location attribute information.
And S2, carrying out coordinate conversion processing on coordinate conversion data provided by a unified coordinate conversion platform established by a supervision department, unifying the coordinate conversion data to a plane coordinate system with the same track data, reserving units, conversion time and project name information during coordinate conversion, carrying out fusion processing according to the conversion time and the inter-point distance, and carrying out fusion processing on the conversion data submitted once and the inter-point distance being lower than a set third threshold value to form a coordinate data basic unit, wherein all the coordinate data basic units are summarized to form a coordinate conversion data set.
In the step S2, fusion processing is performed according to the conversion time and the inter-point distance, and when the conversion data submitted once and the inter-point distance are lower than a preset third threshold value, coordinate data basic units are formed by fusion, and all the coordinate data basic units are summarized to form a coordinate conversion data set, which specifically comprises:
When the coordinate conversion is carried out, a certain number of project control points, namely engineering measurement grade points and drawing root points, are generally selected by a surveying unit, the project control points are converted through a coordinate conversion platform, according to the specification requirement, the distance between the control points meets the distance requirement corresponding to a preset third threshold, when the data are fused, factors of the distance between adjacent measurement points and the coordinate conversion time are comprehensively considered, the coordinate conversion point clusters are fused and converted into a project vector surface, the project control point conversion data basic unit of the surveying unit is obtained through simulation, and a coordinate conversion data set is formed after all the coordinate data basic units are integrated.
In this embodiment, the result conversion data submitted by the default mapping unit is generally a control point of the same item, and for more accurate real situation reaction, the verification is performed by the point distance factor, when the point distance exceeds the preset third threshold value, the control point submitted by the default mapping unit is divided into a plurality of groups, and each group point is fused into a plane, so as to form a basic unit of the coordinate conversion data set. In this embodiment, in combination with the requirement of the distance between control points in engineering measurement, the preset third threshold value of the distance between the points is generally set to 120-500 meters.
S3, carrying out noise point rejection, track point classification pretreatment and clustering parameter selection on track data of a satellite navigation positioning reference service system, clustering and analyzing to realize conversion from track points to vector surfaces, and simulating to obtain planar distribution conditions of field acquisition tracks of a mapping unit;
The satellite navigation positioning reference service system track data is subjected to noise point elimination, namely, the collected track point data is subjected to noise points such as discrete points outside administrative areas, individual discrete points in administrative areas, obvious abnormal points and the like, original track point data is cut according to the range and divided into administrative areas outside the administrative areas (within the city range), if the points outside the administrative areas are directly deleted, no other points are found in the administrative areas within a certain range according to the shortest distance search, namely, the individual discrete points are deleted, isolated points are eliminated, track points for real mapping are obtained, and the authenticity and the effectiveness of the track data are ensured.
In the step S3, the track point classification preprocessing is performed on the track data of the satellite navigation positioning reference service system, which is to consider the characteristic that a single item may be measured by a plurality of accounts of a unit at the same time when the satellite navigation positioning reference service system is used for measurement according to a mapping unit, combine the track data generated by the plurality of accounts corresponding to the unit, and perform the pre-classification processing according to the attribute of the mapping unit according to the track point, thereby reducing the traversal times of the subsequent clustering time points and improving the operation efficiency of clustering. And removing the track after the isolated points, searching according to the unit names, removing the track points after the non-mapping application, and finally performing type according to the unit names to form the track points after the pre-classification.
The method comprises the steps of selecting clustering parameters for clustering and analyzing, converting track points into vector surfaces, and obtaining planar distribution conditions of field acquisition tracks of a surveying and mapping unit through simulation, wherein the method specifically comprises the following steps: according to the clustering algorithm, two parameters of a plurality of groups of field radius Eps and minimum point MinPts in the field radius are selected in an experiment mode, sample experiments are carried out to obtain optimal parameter values, and batch track point data are clustered to obtain clusters of the corresponding mapping activity item number, and in the specific embodiment: the initial value of the radius Eps of the field is 50 meters, the stepping distance is 50 meters, the initial value of the minimum point number MinPts in the radius of the field is 3 points, the stepping point number is 2 points, and the optimal parameter value is calculated in sequence. Selecting a point to be processed from the point set according to the optimal clustering parameter value, judging whether the point is a core point or not, namely whether the point is not less than MinPts in the radius Eps or not, and if the point is not less than MinPts, skipping the point; if so, searching all reachable object points according to the parameters, outputting to form a track point cluster, and finishing the track point cluster of the mapping unit until all the points are traversed. And marking different clustering clusters through a newly added z_label field, wherein z_label is a marking character, and converting the clustering result from a point cluster to a vector surface by taking the value of the z_label field as a reference. Meanwhile, a certain buffer area distance is set for the obtained vector surface to more intuitively and accurately represent the project range, and finally the planar distribution condition of the field acquisition track of the surveying and mapping unit is obtained through simulation. In the specific embodiment, by combining the actual characteristics of field operation and through the existing sample experiment, the optimal field radius Eps is 500 meters, and the minimum point number MinPts in the field radius is 16; and setting the buffer area to be 5 meters according to the outline coordinate precision of the track points, so as to obtain the actual distribution situation of the field data acquisition of the surveying and mapping unit.
Step S4, matching and nesting the coordinate conversion data set in the step S2 and the planar distribution condition of the field acquisition track of the mapping unit in the step S3, and judging that the mapping units are completely matched if the field acquisition track surface of the mapping unit has a topological inclusion relationship with the coordinate conversion data set and the name and the time attribute of the mapping unit are matched; if the mapping unit field acquisition track surface has a topological inclusion relation with the coordinate conversion data set but the mapping unit name and the time attribute are not matched, judging that the mapping unit field acquisition track surface is partially matched; the rest is mismatch.
And analyzing the actual distribution topology containing conditions of the coordinate conversion data set and the field data acquisition of the mapping unit by taking the mapping unit as a basic analysis object, wherein the coordinate conversion data set is in ideal condition for corresponding actual distribution of the field data acquisition. And analyzing the proportion of the full match, the partial match and the mismatch according to the actual topology inclusion condition. The full matching means that the surface data of the coordinate conversion data set and the surface data acquired by the field data have a space topology containing relation, the track is consistent with the attribute of the coordinate conversion data mapping unit, and the time of the coordinate conversion data set is later than the time information acquired by the field data; the partial matching means that the surface data of the coordinate conversion data set and the surface data acquired by the field data have a space topology containing relationship, the time of the coordinate conversion data set is later than the time information acquired by the field data, but the attributes of the track and the coordinate conversion data mapping unit are inconsistent. In the specific example, the actual situation of field control measurement is combined, misjudgment is avoided, and when the overlapping part of the surface of the coordinate conversion data set and the surface of field data acquisition is more than or equal to 80%, the topological inclusion relation is judged.
Step S5, counting the proportion P1 of the number of the coordinate conversion data basic units which are fully matched with each mapping unit to the coordinate conversion data set to obtain the unified mapping reference monitoring proportion of each mapping unit by using the monitoring department, namely the reference monitoring coverage rate of the mapping unit; and counting the proportion P2 of the basic unit number of the coordinate conversion data matched with the part to the coordinate conversion data set to obtain the proportion of each surveying and mapping unit to other units, namely the surveying and mapping reference lending rate.
And S6, comparing the counted supervision rate with a set threshold value, judging a mapping reference supervision important supervision object, and if the mapping reference supervision coverage rate of the mapping unit is lower than a first preset threshold value or the mapping reference borrowing rate is higher than a second preset threshold value, belonging to the mapping reference supervision important supervision object and giving supervision advice to the important supervision object.
In this embodiment, the first preset threshold is 80%, the second preset threshold is 10%, and according to the provincial and urban management requirement, the surveying and mapping reference supervision coverage rate threshold is not lower than 80%, and the surveying and mapping reference lending rate threshold is not higher than 10%.
The obtained supervision coverage weak units are reported to a surveying and mapping geographic information supervision department, and supervision measures are enhanced aiming at the weak units, such as increasing the quality supervision and inspection strength of surveying and mapping achievements, double-randomness and one-disclosure inspection strength and the like, so as to provide law enforcement basis for surveying and mapping supervision and management of the supervision department.
Taking a provincial city as an example, 188 mapping qualification units in the city in 2022 years open coordinate conversion service and generate corresponding coordinate conversion records, performing coordinate conversion on the conversion records to obtain 41234 effective points in total, performing fusion processing on the coordinate points according to conversion time and inter-point distances, and summarizing to form a coordinate conversion data set containing 5328 basic units. Considering that the coordinate conversion has certain hysteresis (generally, the coordinate conversion is unified after all control measurement tasks of a certain project field are completed), collecting 500 universal points of track data points of a satellite navigation positioning reference service system in the city 2021 to 2022, carrying out noise processing and pre-classification processing on the track points, selecting clustering parameters to carry out parameter verification, carrying out batch processing on the track points according to a clustering algorithm to obtain a cluster of the corresponding surveying and mapping activity project number, converting the cluster point into a vector surface through a newly added z_label field, simultaneously, setting a buffer area distance of 5 meters for the obtained vector surface, and simulating to obtain the actual distribution condition of surveying and mapping unit field data acquisition. And carrying out matching and nesting processing on the coordinate conversion data set and the field data acquisition data, analyzing the total matching quantity, the partial matching quantity and the unmatched quantity of each unit, dividing the total matching coordinate conversion data basic unit quantity of each mapping unit by the coordinate conversion data set to obtain a mapping reference supervision coverage rate P1, and dividing the partial matching coordinate conversion data basic unit quantity of each mapping unit by the coordinate conversion data set to obtain a mapping reference lending rate P2. Taking a mapping unit as an object to count the supervision coverage rate of each unit on all-market mapping geographic information items and the reference transfer rate of mapping and mapping, and part of super-threshold units are shown in the following table. According to the threshold value required to be set by the supervision department, the threshold value of the supervision coverage of the surveying and mapping reference is not lower than 80%, the threshold value of the borrowing rate of the surveying and mapping reference is not higher than 10%, units in the form can be considered to belong to weak supervision coverage units, and the supervision department shall strengthen supervision and management of the surveying and mapping reference.
Further, the method further comprises the following steps: according to the affiliated administrative principle of the surveying and mapping units, each unit is divided according to affiliated counties, and comprehensively ordered according to surveying and mapping reference supervision coverage rate and surveying and mapping reference borrowing rate, so that better units can be intuitively known, and weaker units can be conveniently known, and guidance is provided for subsequent work deployment and reference management of supervision departments.
The method changes the passive operation into the active operation by applying the massive track point data and the control point coordinate conversion data, and reversely uses the data mark of the coordinate conversion acquired by the field data in the surveying and mapping activities to support the surveying and mapping reference supervision, so that the massive measurement data play a role in accurately, comprehensively and objectively reflecting the real activity condition of each surveying and mapping unit and providing accurate and reliable technical support for surveying and mapping reference supervision of the supervision department and the like.
Specific example 2:
referring to fig. 5, a surveying and mapping reference supervision and management system based on a satellite navigation positioning reference service system track comprises a data acquisition module and a data analysis processing module, wherein the data acquisition module is electrically connected with the data analysis processing module.
The data acquisition module is used for: the method for acquiring the track data of the satellite navigation positioning reference service system and the coordinate conversion data provided by the unified coordinate conversion platform established by the supervision department comprises the following steps:
The method comprises the steps that the track data of a satellite navigation positioning reference service system are obtained, namely when the satellite navigation positioning reference service system established by a surveying and mapping geographic information supervision department provides measurement operation service for the outside, a user can acquire the outline point position coordinates corresponding to a unit account at a certain time interval after logging in the system account, and a data set formed by the coordinates is track data. Typically, the trajectory data includes attribute information such as measurement time, spatial location, mapping units, and account numbers.
The coordinate conversion data provided by the unified coordinate conversion platform established by the management department refers to data generated by the geographic information supervision department for mapping, wherein the geographic information supervision department for mapping establishes local unified mapping references, and corresponding reference information and conversion parameters are externally provided with services through the coordinate conversion platform, and the data generally comprise attribute information such as mapping units, submitting time, mapping projects, spatial positions and the like.
The data analysis processing module is used for: the method comprises the steps of carrying out coordinate conversion processing on coordinate conversion data established by a supervision department, unifying the coordinate conversion data to a plane coordinate system with the same track data, reserving information such as units, conversion time, project names and the like during coordinate conversion, carrying out fusion processing according to the conversion time and the inter-point distance, and carrying out fusion processing to form a coordinate data basic unit when the conversion data submitted once and the inter-point distance are lower than a preset threshold value, wherein all the coordinate data basic units are summarized to form a coordinate conversion data set; carrying out noise point rejection, track point classification pretreatment and clustering analysis on track data of a satellite navigation positioning reference service system, selecting clustering parameters for clustering and analyzing, converting track points into vector surfaces, and simulating to obtain planar distribution conditions of field acquisition tracks of mapping units; the method specifically comprises the steps of selecting clustering parameters for clustering and analyzing, and converting track points into vector surfaces, wherein the method specifically comprises the following steps of: selecting two clustering parameters of a plurality of groups of field radius Eps and minimum points MinPts in the field radius to perform clustering experiments, selecting known mapping unit track points and typical samples of a coordinate conversion data set to perform verification to obtain optimal clustering parameter values, wherein the initial value of the field radius Eps is 50 meters, the stepping distance of the field radius is 50 meters, the initial value of the minimum points MinPts in the field radius is3 points, the stepping points are 2 points, randomly selecting a point to be processed from a point set according to the optimal clustering parameter values, judging whether the point to be processed is a core point or not, namely whether the point to be processed contains no less than MinPts in the radius Eps, if not, skipping the point, if yes, searching all reachable object points according to the parameters, outputting to form track point clustering clusters, until all the points are traversed, namely finishing the mapping unit track point clustering, marking different clustering clusters by adding a z_labl field, and performing point-to vector face conversion on the clustering results by taking the z_labl field value as a reference; matching and sleeving the coordinate conversion data set in the S2 and the planar distribution condition of the field acquisition track of the mapping unit in the S3, and judging that the mapping unit is fully matched if the field acquisition track surface of the mapping unit has a topological inclusion relationship with the coordinate conversion data set and the name and the time attribute of the mapping unit are matched; if the mapping unit field acquisition track surface has a topological inclusion relation with the coordinate conversion data set but the mapping unit name and the time attribute are not matched, judging that the mapping unit field acquisition track surface is partially matched; the rest cases are not matched; counting the proportion P1 of the number of the coordinate conversion data basic units which are fully matched with each mapping unit to all coordinate conversion data sets to obtain the unified mapping reference monitoring proportion of each mapping unit by using the monitoring department, namely the monitoring coverage rate of the mapping reference; counting the proportion P2 of the basic unit number of the coordinate conversion data matched by the part to the coordinate conversion data set to obtain the proportion of each surveying and mapping unit for converting the surveying and mapping reference to other units, namely the surveying and mapping reference lending rate; and if the surveying and mapping reference supervision coverage rate of the surveying and mapping unit is lower than a preset first threshold value or the surveying and mapping reference borrowing rate is higher than a preset second threshold value, the surveying and mapping unit belongs to a surveying and mapping reference supervision key supervision object.
In this embodiment: the function of the data analysis processing module is the same as that of the mapping reference supervision and management method based on the satellite navigation positioning reference service system track in the embodiment 1, so this embodiment is omitted here.
The technical scheme provided by the invention is described in detail. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (10)
1. A surveying and mapping reference supervision and management method based on satellite navigation positioning reference is characterized by comprising the following steps:
S1, acquiring track data of a satellite navigation positioning reference service system and coordinate conversion data provided by a unified coordinate conversion platform established by a supervision department;
s2, carrying out coordinate conversion processing on coordinate conversion data established by a supervision department, unifying the coordinate conversion data to a plane coordinate system with the same track data, reserving units, conversion time and project name information during coordinate conversion, carrying out fusion processing according to the conversion time and the inter-point distance, and carrying out fusion processing to form a coordinate data basic unit when the conversion data submitted once and the inter-point distance are lower than a preset third threshold value, wherein all the coordinate data basic units are summarized to form a coordinate conversion data set;
S3, carrying out noise point elimination, track point classification pretreatment and clustering analysis on track data of the satellite navigation positioning reference service system, and selecting clustering parameters to carry out clustering and analysis, so as to realize conversion from track points to vector surfaces, and obtaining planar distribution conditions of field acquisition tracks of mapping units through simulation;
The method specifically comprises the steps of selecting clustering parameters for clustering and analyzing, and converting track points into vector surfaces, wherein the method specifically comprises the following steps of: selecting two clustering parameters of a plurality of groups of field radius Eps and minimum point number MinPts in the field radius, performing clustering experiments, selecting known mapping unit track points and a coordinate conversion data set typical sample, performing verification to obtain an optimal clustering parameter value, randomly selecting one point to be processed from a point set according to the optimal clustering parameter value, judging whether the point is a core point or not, namely whether the point is not less than the MinPts in the radius Eps, if the point is not less than the MinPts, skipping the point, searching all reachable object points according to the parameters, outputting to form a track point cluster until all points are traversed, namely finishing the mapping unit track point cluster, marking different cluster clusters through a newly added z_label field, and performing conversion from the cluster result to a vector surface by taking the z_label field value as a benchmark;
S4, matching and nesting the coordinate conversion data set in the S2 and the planar distribution condition of the field acquisition track of the mapping unit in the S3, and judging that the mapping unit is completely matched if the field acquisition track surface of the mapping unit has a topological inclusion relation with the coordinate conversion data set and the name and the time attribute of the mapping unit are matched; if the mapping unit field acquisition track surface has a topological inclusion relation with the coordinate conversion data set but the mapping unit name and the time attribute are not matched, judging that the mapping unit field acquisition track surface is partially matched;
S5, counting the proportion P1 of the number of the coordinate conversion data basic units which are fully matched with each mapping unit to all coordinate conversion data sets, and obtaining the unified mapping reference supervision proportion of each mapping unit by using a supervision department, namely mapping reference supervision coverage rate; counting the proportion P2 of the basic unit number of the coordinate conversion data matched by the part to the coordinate conversion data set to obtain the proportion of each surveying and mapping unit for converting the surveying and mapping reference to other units, namely the surveying and mapping reference lending rate;
And S6, judging the important supervision object of the surveying and mapping reference supervision, and if the surveying and mapping reference supervision coverage rate of the surveying and mapping unit is lower than a preset first threshold value or the surveying and mapping reference borrowing rate is higher than a preset second threshold value, the important supervision object of the surveying and mapping reference supervision belongs to the important supervision object of the surveying and mapping reference supervision.
2. The surveying and mapping reference supervision and management method based on the satellite navigation positioning reference according to claim 1, wherein the surveying and mapping reference supervision and management method is characterized in that: the step S1 is to acquire track data of a satellite navigation positioning reference service system, namely when the satellite navigation positioning reference service system established by a surveying and mapping geographic information supervision department provides measurement operation service for the outside, the system acquires outline positioning coordinates corresponding to a unit account at a certain time interval after a user logs in the system account, and a data set formed by the coordinates is track data.
3. A surveying and mapping reference supervision and management method based on satellite navigation positioning reference according to claim 1 or 2, wherein: the coordinate conversion data provided by the unified coordinate conversion platform established by the supervision department in the S1 refers to corresponding coordinate data generated by the mapping units through the coordinate conversion platform, wherein the supervision department of the mapping geographic information provides corresponding reference information and conversion parameters for establishing local unified mapping references through the coordinate conversion platform.
4. The surveying and mapping reference supervision and management method based on the satellite navigation positioning reference according to claim 1, wherein the surveying and mapping reference supervision and management method is characterized in that: in the step S2, fusion processing is carried out according to the conversion time and the inter-point distance, and when the conversion data submitted once and the inter-point distance are lower than a preset third threshold value, coordinate data basic units are formed by fusion, and all the coordinate data basic units are summarized to form a coordinate conversion data set, specifically comprising:
When the coordinate conversion is carried out, a certain number of project control points are generally selected for conversion through a coordinate conversion platform by a surveying and mapping unit, the distance between the control points is required to meet the corresponding distance requirement according to the standard requirement, the factors of the distance between adjacent points and the coordinate conversion time are comprehensively considered for control measurement during data fusion, the coordinate conversion point clusters are fused and converted to form a project vector surface, the project control point conversion data basic unit of the surveying and mapping unit operation is obtained through simulation, and a coordinate conversion data set is formed after summarization.
5. The surveying and mapping reference supervision and management method based on the satellite navigation positioning reference according to claim 1, wherein the surveying and mapping reference supervision and management method is characterized in that: in the step S3, noise point rejection is performed on the satellite navigation positioning reference service system track data, namely discrete points outside administrative areas, individual discrete points in administrative areas and obviously abnormal noise points, so as to obtain track points for real mapping.
6. The surveying and mapping reference supervision and management method based on the satellite navigation positioning reference according to claim 1, wherein the surveying and mapping reference supervision and management method is characterized in that: in the step S3, the track point classification preprocessing is performed on track data of the satellite navigation positioning reference service system, which is to combine track data generated by a plurality of accounts corresponding to a unit and perform pre-classification processing according to the unit attribute according to the characteristic that one project and a plurality of accounts are simultaneously measured when the satellite navigation positioning reference service system is used for measurement by a mapping unit.
7. A surveying and mapping reference supervision and management method based on satellite navigation positioning reference according to claim 1 or 5 or 6, wherein: and S3, clustering is carried out by selecting clustering parameters, and the clustering parameters are analyzed, so that transformation from track points to vector surfaces is realized, a certain buffer area distance is set for the obtained vector surfaces, and finally, the planar distribution condition of the field acquisition track of the surveying and mapping unit is obtained through simulation.
8. The surveying and mapping reference supervision and management method based on the satellite navigation positioning reference according to claim 1, wherein the surveying and mapping reference supervision and management method is characterized in that: and S4, judging that the space topological inclusion relationship exists between the point data of the coordinate conversion data set and the area data acquired by the field data, namely judging that the space topological inclusion relationship exists when the overlapping part of the area of the coordinate conversion data set and the area acquired by the field data is more than or equal to 80%.
9. The surveying and mapping reference supervision and management method based on the satellite navigation positioning reference according to claim 1 or 8, wherein the surveying and mapping reference supervision and management method is characterized in that: the matching of the name and the time attribute of the mapping unit in S4 means that the name attribute of the mapping unit of the track and the coordinate conversion data is consistent, and the coordinate conversion data conversion time should be later than the measurement time of the track data.
10. A surveying and mapping reference supervision and management system based on satellite navigation positioning reference service system track and coordinate conversion data is characterized in that: comprises a data acquisition module and a data analysis processing module,
The data acquisition module is used for: the method comprises the steps of acquiring track data of a satellite navigation positioning reference service system and coordinate conversion data submitted by a coordinate conversion system, and corresponding attribute information;
The data analysis processing module is used for: the method comprises the steps of carrying out coordinate conversion processing on coordinate conversion data established by a supervision department, keeping information such as units, conversion time and project names in coordinate conversion in the same plane coordinate system from the same to the same track data, carrying out fusion processing according to the conversion time and the inter-point distance, and carrying out fusion to form a coordinate data basic unit when the single submitted conversion data is lower than a preset threshold value and all results are summarized to form a coordinate conversion data set; carrying out noise point rejection, track point classification pretreatment and clustering analysis on track data of a satellite navigation positioning reference service system, selecting clustering parameters for clustering and analyzing, converting track points into vector surfaces, and simulating to obtain planar distribution conditions of field acquisition tracks of mapping units; the method specifically comprises the steps of selecting clustering parameters for clustering and analyzing, and converting track points into vector surfaces, wherein the method specifically comprises the following steps of: selecting two clustering parameters of a plurality of groups of field radius Eps and minimum point number MinPts in the field radius, performing clustering experiments, selecting known mapping unit track points and a coordinate conversion data set typical sample, performing verification to obtain an optimal clustering parameter value, randomly selecting one point to be processed from a point set according to the optimal clustering parameter value, judging whether the point is a core point or not, namely whether the point is not less than the MinPts in the radius Eps, if the point is not less than the MinPts, skipping the point, searching all reachable object points according to the parameters, outputting to form a track point cluster until all points are traversed, namely finishing the mapping unit track point cluster, marking different cluster clusters through a newly added z_label field, and performing conversion from the cluster result to a vector surface by taking the z_label field value as a benchmark; matching and registering the coordinate conversion data set and the planar distribution condition of the field acquisition track of the surveying and mapping unit, and judging that the coordinate conversion data set and the field acquisition track of the surveying and mapping unit are completely matched if the topological inclusion relationship exists between the field acquisition track surface of the surveying and mapping unit and the coordinate conversion data set and the name and the time attribute of the surveying and mapping unit are matched; if the mapping unit field acquisition track surface has a topological inclusion relation with the coordinate conversion data set but the mapping unit name and the time attribute are not matched, judging that the mapping unit field acquisition track surface is partially matched; the rest cases are not matched; counting the proportion P1 of the number of the coordinate conversion data basic units which are fully matched with each mapping unit to all coordinate conversion data sets to obtain the unified mapping reference monitoring proportion of each mapping unit by using the monitoring department, namely the monitoring coverage rate of the mapping reference; counting the proportion P2 of the basic unit number of the coordinate conversion data matched by the part to the coordinate conversion data set to obtain the proportion of each surveying and mapping unit for converting the surveying and mapping reference to other units, namely the surveying and mapping reference lending rate; and if the surveying and mapping reference supervision coverage rate of the surveying and mapping unit is lower than a preset first threshold value or the surveying and mapping reference borrowing rate is higher than a preset second threshold value, the surveying and mapping unit belongs to a surveying and mapping reference supervision key supervision object.
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